| dc.contributor.author | Marcos Núñez, María Paloma | |
| dc.contributor.author | Pitarch Pérez, José Luis | |
| dc.contributor.author | Jasch, Christian | |
| dc.contributor.author | Prada Moraga, César de | |
| dc.date.accessioned | 2020-08-10T15:16:52Z | |
| dc.date.available | 2020-08-10T15:16:52Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Proceedings of the ESCAPE 29, Eindhoven, The Netherlands, Anton A. Kiss, Edwin Zondervan, Richard Lakerveld, Leyla Özkan (Eds.). Computer Aided Chemical Engineering, Volume 46, 2019, Pages 979-984 | es |
| dc.identifier.isbn | 9780128186343 | es |
| dc.identifier.uri | http://uvadoc.uva.es/handle/10324/41774 | |
| dc.description | Producción Científica | es |
| dc.description.abstract | This work aims to optimise the operation of an evaporation network with shared resources
in real time. The goal is minimising the resource utilisation (live steam and cooling water)
while satisfying a set of operational constrains. Hence, problems of optimal load allocation
of feeds to plants and cooling-water distribution among them arise. The work bases
on plants surrogate models, experimentally obtained, and analyses different formulation
alternatives of the optimisation from the practical point of view: centralised vs distributed
approaches. In particular for the distributed approach, we propose a problem decomposition
which allows us to solve the problem in two iterative ways: 1) as two independent
optimisations or 2) via price-coordination schemes. | es |
| dc.format.extent | 6 p. | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | spa | es |
| dc.publisher | Elsevier | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
| dc.subject | Optimización matemática | es |
| dc.subject | Industria - Aspecto del medio ambiente | es |
| dc.subject | Eficiencia en la industria - Innovaciones tecnológicas | es |
| dc.subject.classification | Decomposition methods | es |
| dc.subject.classification | RTO | es |
| dc.subject.classification | Evaporation network | es |
| dc.subject.classification | Resource efficiency | es |
| dc.title | Optimal distributed load allocation and resource utilisation in evaporation plants | es |
| dc.type | info:eu-repo/semantics/conferenceObject | es |
| dc.rights.holder | Elsevier | es |
| dc.identifier.doi | 10.1016/B978-0-12-818634-3.50164-8 | es |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/B9780128186343501648 | es |
| dc.title.event | 29th European Symposium on Computer Aided Process Engineering, ESCAPE 29 | es |
| dc.description.project | This research is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 723575. The first author also acknowledges the European Social Fund and the “Consejería de Educación de la Junta de Castilla y León | es |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/723575 | |
| dc.rights | Atribución-CompartirIgual 4.0 Internacional | * |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
Except where otherwise noted, this item's license is described as Atribución-CompartirIgual 4.0 Internacional